Wei Ju
0000-0001-9657-951X
14 papers found
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CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Towards Semi-Supervised Universal Graph Classification
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
A Diffusion Model for POI Recommendation
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
Unsupervised graph-level representation learning with hierarchical contrasts
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification
KGNN
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